2019
DOI: 10.1177/1550147719874186
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Mobile sensing for behavioral research: A component-based approach for rapid deployment of sensing campaigns

Abstract: Collecting experimental data from multiple sensing devices has just recently become quite popular in behavioral and social sciences. Among existing devices, mobile phones stand out as they allow researchers to collect data from individuals in an unbiased, precise, unobtrusive, and timely manner. Current mobile sensing applications are typically developed from scratch, provide no reusable components, and frequently do not take advantage of the devices’ processing capabilities. In light of such limitations, this… Show more

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Cited by 12 publications
(6 citation statements)
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References 25 publications
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“…Remarkable efforts have been devoted in recent years to develop frameworks to facilitate the widespread use of smartphones in health and well-being studies as mobile sensing infrastructures. Felix et al 5 presented a novel tool that leverages mobile phones not only to collect data via their sensors but also to process them on the device as soon as they are gathered. The framework allows researchers to easily configure the required processing routines on mobile phones remotely.…”
Section: Internet Of Things For Health and Well-being Applicationsmentioning
confidence: 99%
“…Remarkable efforts have been devoted in recent years to develop frameworks to facilitate the widespread use of smartphones in health and well-being studies as mobile sensing infrastructures. Felix et al 5 presented a novel tool that leverages mobile phones not only to collect data via their sensors but also to process them on the device as soon as they are gathered. The framework allows researchers to easily configure the required processing routines on mobile phones remotely.…”
Section: Internet Of Things For Health and Well-being Applicationsmentioning
confidence: 99%
“…To provide various IoT services, we apply smart devices, such as mobile, and concept of social relationships to IoT. 14,15 In the case of IoT using social concepts, we can use recommendation services by addressing data from IoT devices. 16 We can also discover the social relationships among physical objects utilizing the spatial-temporal attributes for the devices.…”
Section: Introductionmentioning
confidence: 99%
“…Detecting bushfires from surveillance data and social media data is an active research direction [2], [3], [4], [5], [6]. However, there is a gap between the availability of these data and the timeliness of detection.…”
Section: Introductionmentioning
confidence: 99%